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Record W2025034281 · doi:10.1021/ac026439m

Characterization of Naphthenic Acids by Electrospray Ionization High-Field Asymmetric Waveform Ion Mobility Spectrometry Mass Spectrometry

2003· article· en· W2025034281 on OpenAlexaff
Wojciech Gabryelski, Kenneth L. Froese

Bibliographic record

VenueAnalytical Chemistry · 2003
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsChemistryMass spectrometryIon-mobility spectrometryElectrospray ionizationProtein mass spectrometryTandem mass spectrometryElectrosprayNaphthenic acidIon-mobility spectrometry–mass spectrometrySample preparation in mass spectrometryAnalytical Chemistry (journal)ChromatographyTop-down proteomicsIonCharacterization (materials science)Organic chemistryNanotechnology

Abstract

fetched live from OpenAlex

Electrospray ionization (ESI) high-field asymmetric waveform ion mobility spectrometry (FAIMS) was combined with quadrupole, time-of-flight, and tandem mass spectrometry to characterize commercial and naturally occurring naphthenic acids (NA) mixtures. This new method provides quantitatively reliable mass and isomer distributions of NA components in approximately 3 min without extensive sample preparation. ESI-FAIMS-MS seems to be especially useful for characterization of fragile ions that cannot be detected by other methods. A unique part of this technique is separation of structural isomers that proved to be critical in determination of elemental composition and in structure elucidation. Tandem mass spectrometry of NA ions separated by FAIMS provides more information about the structure of NA than other methods in the field of NA analysis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.231
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations66
Published2003
Admission routes1
Has abstractyes

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